Instructions to use sofom/Style-Embedding-mage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/Style-Embedding-mage with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/Style-Embedding-mage")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/Style-Embedding-mage") model = AutoModel.from_pretrained("sofom/Style-Embedding-mage", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8403a02adaaabc07ed4db10922da3f8c82cebaad577f784ac5e5582168d36c93
- Size of remote file:
- 249 MB
- SHA256:
- 9075c5c08f151727691ac08b8245de3ada50f625b35b2ef46a90b776c691d8d4
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